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A deep learning-based adaptive receiver for full-duplex systems
To accommodate the growth of data traffic of 6G and beyond networks, achieving a
significant improvement in spectrum efficiency is inevitable. Full-duplex systems are very …
significant improvement in spectrum efficiency is inevitable. Full-duplex systems are very …
How crucial is it for 6G networks to be autonomous?
The sixth generation (6G), unlike any of the previous generations, is envisioned by 2030 to
connect everything. Moreover, in addition to the new use cases, 6G is expected to support, it …
connect everything. Moreover, in addition to the new use cases, 6G is expected to support, it …
Autonomous wireless technology detection in seamless iot applications
The ever-increasing use of Internet of Things (IoT) devices results in the implementation of
multiple wireless technologies that would not only cater their data rate requirements but also …
multiple wireless technologies that would not only cater their data rate requirements but also …
The Use of Deep Learning Techniques in OFDM Receivers for 5G NR: A Survey
Abstract The Fifth Generation (5G) New Radio (NR) wireless system is the most promising
next-generation solution to meet the needs of the increasing demands of mobile market …
next-generation solution to meet the needs of the increasing demands of mobile market …
[LIBRO][B] Intelligent Channel Estimation and Sensing in Next-Generation Wireless Networks
V Kumar - 2024 - search.proquest.com
Internet of things (IoT), an all pervasive technology, is expected to reach 41 billions by 2027.
Such a revolutionary technology is utilized in plethora of applications such as health, and …
Such a revolutionary technology is utilized in plethora of applications such as health, and …
DNN Approach to Obtain BER Versus SNR for Spatial Modulation System
M Neema, ES Gopi, R Viswas, M Gandhi - Handbook of Formal …, 2024 - Springer
Index modulation (IM) techniques have garnered significant attention in research due to their
ability to provide energy-efficient and low-complexity solutions for upcoming wireless …
ability to provide energy-efficient and low-complexity solutions for upcoming wireless …
Deep neural network based parallel signal detection in SM-OFDM system
A novel deep neural network based parallel signal detection (DNN-PSD) is proposed for the
spatial modulation based orthogonal frequency division multiplexing (SM-OFDM) system …
spatial modulation based orthogonal frequency division multiplexing (SM-OFDM) system …
Effect of DNN Approximation for Channel Estimation and Signal Detection on OFDM Applications.
B Çalışır - Traitement du Signal, 2022 - search.ebscohost.com
This paper offers a deep learning approximation to realize channel estimation and signal
detection that creates the main communication structure skeleton for the orthogonal …
detection that creates the main communication structure skeleton for the orthogonal …